vibe-craft
Shape public documentation, code explanations, and project structure for people building with AI who may not know programming or GitHub.
Skill by adavidson510
Chalk Labs
Need help deploying vibe-craft?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/adavidson510-vibe-craft
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: presentations
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/vibe-craft
What's inside
- Skill name
vibe-craft- Description
- Shape public documentation, code explanations, and project structure for people building with AI who may not know programming or GitHub. Use when authoring an onboarding journey, teaching through source comments, or reviewing an AI-built project's presentation for clarity and character. Keep the AI operational path compact and preserve working behavior.
- License
- MIT
- Instructions
- 75 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Build something people can make their own The human brings a need, a taste, or an example. Translate that into a small working change they can judge. They do not need to impersonate a software team. AI authorship is ordinary here; it does not establish correctness. ## Choose the reader and the route Human onboarding should get someone from their current knowledge to a useful result. Define unfamiliar terms at first use, show what to paste and where, describe the expected result, and give a way back when something goes wrong. Explain consequences and choices generously; cut prose that only announces importance. Put advanced options behind links or disclosure sections. Make the AI path immediately findable. Keep it operational: entrypoints, actual configuration, state locations, verification and recovery. Link to specific skills when relevant; do not require loading every guide or memory on every turn. ## Give the project a recognizable hand Reuse its real logo, palette and visual vocabulary. For UX46, use the layered workspace direction in `docs/assets/`: near-black depth, luminous violet accents, strong white typography and connected interface panels. Keep light and texture subtle. The owner found flat panels and a paper note dated; don't equate "curated" with faux stationery or retro corporate styling. Use a supplied reference directly when it already fits, rather than approximating it poorly. Art should orient the reader or demonstrate something. Label concept interfaces when they could be mistaken for actual product evidence. Lead with the person's need: tell the AI what would help, try the result, and shape the workspace through use. "Build your own agent" is one possible outcome, not a prerequisite or the whole promise. Existing tools and patterns are means to the person's goal; avoid making package taxonomy their first learning task. Describe working capabilities separately from the desired effortless experience. Models, native agent runtimes, the workspace, and the owner's configured agent are distinct. Codex CLI and Claude Code already provide agent behavior; don't describe them as bare LLMs or imply UX46 replaces their execution loop. Use concrete language and examples with a purpose. A little self-aware humor is welcome when the task is not serious or frustrating. Don't manufacture a human author, typos, confessions, marketing claims or a joke quota. Avoid badge piles, repeated slogans and decorative prose that delays the next useful step. For GitHub, use Markdown and supported HTML, relative links and accessible SVG or images. Essential instructions must also exist as text. Inspect the rendered page at desktop and phone widths, including code blocks, tables and image text. ## Make the source a place to learn Organize changes around behavior and data ownership. Keep entrypoints obvious and the code map accurate. Favor explicit functions and ordinary dependencies that an agent can locate and check. Do not reorganize a working codebase merely to resemble a template or to appear more sophisticated. Comments should explain a surprising decision, a boundary, a failure case, or why a simpler-looking alternative is wrong. Use a small input/output example when it teaches more than terminology. Do not narrate obvious assignments or promise protections the implementation does not provide. Put longer lessons in a code tour and link to the real file; keep production comments near the reason. “Vibe coding” describes how someone expresses intent. Keep normal engineering care: preserve unrelated edits, validate untrusted input, keep credentials out of source, handle failures, and test the behavior at risk. Prefer a focused check over ceremony. Report what ran and what remains unverified; do not infer correctness, security or savings from confident prose. ## Finish the loop Show the human what changed, why it helps, and how to try it. Remove temporary test pages and processes you created. Capture a reusable lesson only when it would change future work; attribute human choices separately from AI inference. Let the owner's actual feedback change the style. This skill is guidance, not permission to publish private work or override their request.
From adavidson510/ux46, MIT.
More from adavidson510/ux46
- 0.567score
tell-discovery
adavidson510
Read or preserve a specific cross-project observation when it helps current work or the human asks.
SkillAFreshness: AClaude Code +9 - 0.564score
constellation
adavidson510
Portable constellation guidance for a locally owned UX46 installation.
SkillAFreshness: AClaude Code +9 - 0.564score
ux46-canvas
adavidson510
Portable ux46-canvas guidance for a locally owned UX46 installation.
SkillAFreshness: AClaude Code +9 - 0.561score
ux46-work
adavidson510
Assess relevant Signals or Constellation suggestions in this room, record a chosen small experiment and its observed outcome, and publish the current result…
SkillAFreshness: AClaude Code +9 - 0.561score
ux46-own-goal
adavidson510
Request resumption of this Codex conversation's own saved goal when the human explicitly asks.
SkillAFreshness: AClaude Code +9 - 0.518score
ux46-maintainer
adavidson510
Portable ux46-maintainer guidance for a locally owned UX46 installation.
SkillBFreshness: BClaude Code +9 - 0.518score
ux46-efficiency
adavidson510
Portable ux46-efficiency guidance for a locally owned UX46 installation.
SkillBFreshness: BClaude Code +9 - 0.518score
session-vault
adavidson510
Portable session-vault guidance for a locally owned UX46 installation.
SkillBFreshness: BClaude Code +9 - 0.513score
ux46-attention
adavidson510
Portable ux46-attention guidance for a locally owned UX46 installation.
SkillBFreshness: BClaude Code +9
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 9
- Last commit (this folder)
- Sep 15, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/adavidson510/ux46
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from adavidson510
- 0.567score
tell-discovery
adavidson510
Read or preserve a specific cross-project observation when it helps current work or the human asks.
SkillAFreshness: AClaude Code +9 - 0.564score
constellation
adavidson510
Portable constellation guidance for a locally owned UX46 installation.
SkillAFreshness: AClaude Code +9 - 0.564score
ux46-canvas
adavidson510
Portable ux46-canvas guidance for a locally owned UX46 installation.
SkillAFreshness: AClaude Code +9 - 0.561score
ux46-work
adavidson510
Assess relevant Signals or Constellation suggestions in this room, record a chosen small experiment and its observed outcome, and publish the current result…
SkillAFreshness: AClaude Code +9 - 0.561score
ux46-own-goal
adavidson510
Request resumption of this Codex conversation's own saved goal when the human explicitly asks.
SkillAFreshness: AClaude Code +9 - 0.518score
ux46-maintainer
adavidson510
Portable ux46-maintainer guidance for a locally owned UX46 installation.
SkillBFreshness: BClaude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get vibe-craft running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
vibe-craft skill. Agent Mart. https://agentmart.dev/skills/adavidson510-vibe-craft (last updated 2026-10-24)